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Multiphase Flows: Computational Methods IV

ORAL · R36 · ID: 1764069





Presentations

  • Time Accurate Solutions of the Fokker-Planck Equation in Simple Shear

    ORAL

    Publication: Karahan, D. T., Ranjan, D., and Aidun, C. K. (2023). A Finite-Volume Framework to Solve the Fokker-Planck Equation for Fiber Orientation Kinetics (in preparation).

    Presenters

    • Dogukan T Karahan

      Georgia Institute of Technology

    Authors

    • Dogukan T Karahan

      Georgia Institute of Technology

    • Devesh Ranjan

      Georgia Institute of Technology

    • Cyrus K Aidun

      Georgia Institute of Technology

    View abstract →

  • Inferring multiscale bubble growth dynamics by deep neural operator learning

    ORAL

    Publication: [1] C. Lin, M. Maxey, Z. Li and G. Karniadakis. A seamless multiscale operator neural network for inferring bubble dynamics. Journal of Fluid Mechanics, 2021, 929: A18. <br>[2] C. Lin, Z. Li, L. Lu, S. Cai, M. Maxey and G. Karniadakis. Operator learning for predicting multiscale bubble growth dynamics. The Journal of Chemical Physics, 2021, 154: 104118.<br>[3] M. Lu, A. Mohammadi, Z. Meng, X. Meng, G. Li and Z. Li. Deep neural operator for learning transient response of interpenetrating-phase composites subject to dynamic loading. Computational Mechanics, 2023, 72: 563–576.

    Presenters

    • Zhen Li

      Clemson University

    Authors

    • Zhen Li

      Clemson University

    • Chensen Lin

      Fudan University

    • Martin R Maxey

      Brown University

    • George E Karniadakis

      Brown University

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  • Subgrid Scale Modeling of the Scalar Transport Equation in Multiphase Flows

    ORAL

    Publication: Planned paper "Advanced subgrid-scale modeling for scalar transport at fluid interfaces with large Peclet numbers with application to interfacial heat and mass transfer problems"

    Presenters

    • Jacob Maarek

      Sorbonne University

    Authors

    • Jacob Maarek

      Sorbonne University

    • Stephane Popinet

      Sorbonne Université and CNRS, Institut Jean Le Rond d' Alembert, Sorbonne Université and CNRS, Institut Jean Le Rond d'Alembert UMR 7190, F-75005 Paris, France, Sorbonne Université and CNRS, Institut Jean Le Rond d'Alembert

    • Stephane Zaleski

      Institut Jean Le Rond d'Alembert, Sorbonne University, Sorbonne Universite, Sorbonne University

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  • A statistical framework using LES to assess the effect of internal heating and natural convection on airborne transmission.

    ORAL

    Presenters

    • Rupal Patel

      University of Florida

    Authors

    • Rupal Patel

      University of Florida

    • Krishnaprasad K A

      University of Florida

    • Jorge Salinas

      Sandia National Laboratories, University of Florida (past) and Combustion Research Facility, Sandia National Laboratories (current)

    • Nadim Zgheib

      Univ. of Texas Rio Grande Valley

    • S Balachandar

      University of Florida

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  • Artificial Neural Network Aided Vapor-Liquid Equilibrium Model for Multi-Component High-Pressure Transcritical Flows with Phase Change

    ORAL

    Publication: N. Srinivasan, H. Zhang, S. Yang, "Artificial Neural Network based Vapor-Liquid Equilibrium Modeling for Simulation of Transcritical Multiphase Flows," 2024 AIAA SciTech (submitted)

    Presenters

    • Suo Yang

      University of Minnesota

    Authors

    • Suo Yang

      University of Minnesota

    • Navneeth Srinivasan

      University of Minnesota

    • Hongyuan Zhang

      University of Minnesota

    View abstract →